Welcome to Psychiatryai.com: Latest Evidence - RAISR4D

Associated factors with self-reported elder abuse: analysis of the National Health Survey – 2019

Cien Saude Colet. 2025 Apr;30(4):e01692024. doi: 10.1590/1413-81232025304.01692024. Epub 2024 Nov 6.

ABSTRACT

The prevalence and factors associated with self-reported elder abuse were estimated. This was a cross-sectional study with data from people aged 60 or over interviewed in the 2019 PNS. Prevalence and 95% confidence intervals (95%CI) of total violence and subtypes were calculated according to selected variables, with analysis of associations between total violence and explanatory variables using Poisson Regression. Of the elderly, 10.05% reported some violence, 11.09% were women and 8.69% were men. In women, violence was more prevalent: 60 to 69 (PR: 2.18; 95%CI: 1.51;314) and 70 to 79 years old (PR: 1.91; 95%CI: 1.31;2.77), divorced/separated (PR: 1.74; 95%CI: 1.35;2.24), resident in urban areas (PR: 1.49; 95%CI: 1.20;1.61), regular self-rated health (PR: 1.34; 95%CI: 1.09;1.65) and poor/very poor (PR: 2.04; 95%CI: 1.64;2.55), depressive symptoms (PR: 2.13; 95%CI: 1.72;2.63) and multimorbidity (PR: 1.21; 95%CI: 1.01;1.44). In men, the prevalence was higher: 60 to 69 years (PR: 1.79; 95%CI: 1.19;2.69), non-white race/skin color (PR: 1.44; 95%CI: 1.18;1.75), resident in urban areas (PR: 1.28; 95%CI: 1.02;1.61), regular self-assessment of health (PR: 1.36; 95%CI: 1.09;1.70) and depressive symptoms (PR: 2.57; 95%CI: 1.84;3.56).

PMID:40298707 | DOI:10.1590/1413-81232025304.01692024

Document this CPD

AI-assisted Evidence Research

Share Evidence Blueprint

QR Code

Search Google Scholar

close chatgpt icon
ChatGPT

Enter your request.

Psychiatry AI: Real-Time AI Scoping Review (RAISR4D)